Maxwell Salvatore

Also affiliated with Michigan Medicine, Translational Therapeutics (United States), University of Pennsylvania

MedicineBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 2%percentile

3.1Author DataRank

Indexed papers

6in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 6 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine

Journal of Clinical Medicine(2021)10.3390/jcm10071351

Top 20%

1.0DataRank

Top 20%30 citations

Tian Gu, Jasmine A. Mack, Swaraaj Prabhu Sankar, Snehal Patil, Thomas S. Valley +7 more

Papers

Driven by 18 papers — median percentile 60. Top paper: “A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine”.

A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine

Journal of Clinical Medicine(2021)10.3390/jcm10071351

Top 20%

1.0DataRank

Top 20%30 citations

Tian Gu, Jasmine A. Mack, Swaraaj Prabhu Sankar, Snehal Patil, Thomas S. Valley +7 more

Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System

JAMA Network Open(2020)10.1001/jamanetworkopen.2020.25197

N/A

0.826DataRank · unranked

246 citations

Jasmine A. Mack, Maxwell Salvatore, Swaraaj Prabhu Sankar, Thomas S. Valley, Karandeep Singh +6 more

COVID-19 Outcomes by Cancer Status, Site, Treatment, and Vaccination

Cancer Epidemiology Biomarkers & Prevention(2023)10.1158/1055-9965.epi-22-0607

Top 32%

0.614DataRank

Top 32%13 citations

Miriam M. Hu, Lauren J. Beesley, Alison M. Mondul, Celeste Leigh Pearce, Christopher R. Friese +3 more

A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine

medRxiv(2020)10.1101/2020.06.29.20141564

Top 34%

0.581DataRank

Top 34%4 citations

Tian Gu, Jasmine A. Mack, Swaraaj Prabhu Sankar, Snehal Patil, Thomas S. Valley +7 more

Patterns of repeated diagnostic testing for COVID‐19 in relation to patient characteristics and outcomes

Journal of Internal Medicine(2020)10.1111/joim.13213

N/A

0.449DataRank · unranked

19 citations

Zhangchen Zhao, Swaraaj Prabhu Sankar, Maxwell Salvatore, Tian Gu, Lars G. Fritsche +5 more

Cancer PRSweb – an Online Repository with Polygenic Risk Scores (PRS) for Major Cancer Traits and Their Phenome-wide Exploration in Two Independent Biobanks

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.22.915751

Top 47%

0.389DataRank

Top 47%4 citations

Snehal Patil, Lauren J. Beesley, Peter VandeHaar, Maxwell Salvatore, Robert B. Peng +4 more

Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm

Journal of Clinical Medicine(2023)10.3390/jcm12237313

Top 50%

0.357DataRank

Top 50%6 citations

Wei Hao, Xu Shi, Lars G. Fritsche, Maxwell Salvatore, Andrew J. Admon +3 more

On Cross-ancestry Cancer Polygenic Risk Scores

medRxiv(2021)10.1101/2021.02.24.21252351

N/A

0.208DataRank · unranked

3 citations

Ying Ma, Daiwei Zhang, Maxwell Salvatore, Seunggeun Lee, Xiang Zhou +2 more

To weight or not to weight? Studying the effect of selection bias in three large EHR-linked biobanks

medRxiv(2024)10.1101/2024.02.12.24302710

Top 78%

0.104DataRank

Top 78%1 citations

Ritoban Kundu, Xu Shi, Christopher R. Friese, Seunggeun Lee, Lars G. Fritsche +5 more

Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103652

N/A

0DataRank · unranked

31 citations

Lauren J. Beesley, Lars G. Fritsche, David A. Hanauer, Xu Shi, Alison M. Mondul +3 more

Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks

PLoS Genetics(2023)10.1371/journal.pgen.1010907

N/A

0DataRank · unranked

9 citations

Kisung Nam, Jiacong Du, Ritoban Kundu, Maxwell Salvatore, Xu Shi +4 more

Design and analysis heterogeneity in observational studies of COVID-19 booster effectiveness: A review and case study

Science Advances(2023)10.1126/sciadv.adj3747

N/A

0DataRank · unranked

4 citations

Xu Shi, Lars G. Fritsche, Maxwell Salvatore, Abram L. Wagner, Emily T. Martin +2 more

Design and Analysis Heterogeneity in Observational Studies of COVID-19 Booster Effectiveness: A Review and Case Study

medRxiv(2023)10.1101/2023.06.22.23291692

N/A

0DataRank · unranked

0 citations

Xu Shi, Lars G. Fritsche, Maxwell Salvatore, Abram L. Wagner, Emily T. Martin +2 more

To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae098

N/A

0DataRank · unranked

15 citations

Ritoban Kundu, Xu Shi, Christopher R. Friese, Seunggeun Lee, Lars G. Fritsche +5 more

Real-world comparative outcomes of GLP-1 RA and semaglutide prescription among individuals with type 2 diabetes

medRxiv(2025)10.1101/2025.06.03.25328908

N/A

0DataRank · unranked

2 citations

Bingyu Zhang, Huilin Tang, Yiwen Lu, Dazheng Zhang, Ting Zhou +5 more

Assessing the added value of linking electronic health records to improve the prediction of self-reported COVID-19 testing and diagnosis

PLoS ONE(2022)10.1371/journal.pone.0269017

N/A

0DataRank · unranked

2 citations

Jonathan Boss, Maxwell Salvatore, Jennifer A. Smith, Lars G. Fritsche, Bhramar Mukherjee +1 more

Impacts of sample weighting on transferability of risk prediction models across EHR-Linked biobanks with different recruitment strategies

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104853

N/A

0DataRank · unranked

0 citations

Alison M. Mondul, Christopher R. Friese, David A. Hanauer, Hua Xu, Celeste Leigh Pearce +2 more

COVID-19 outcomes by cancer status, type, treatment, and vaccination

medRxiv(2022)10.1101/2022.04.19.22274047

N/A

0DataRank · unranked

0 citations

Miriam M. Hu, Lauren J. Beesley, Alison M. Mondul, Celeste Leigh Pearce, Christopher R. Friese +3 more

Maxwell Salvatore

Indexed papers

Top data-sharing exemplar

Papers